Abstract
Fusobacterium species are part of the gut microbiome in humans. Recent studies have identified overrepresentation of Fusobacterium in colorectal cancer tissues, but it is not yet clear whether this is pathogenic or simply an epiphenomenon. In this study, we evaluated the relationship between Fusobacterium status and molecular features in colorectal cancers through quantitative real-time PCR in 149 colorectal cancer tissues, 89 adjacent normal appearing mucosae and 72 colonic mucosae from cancer-free individuals. Results were correlated with CpG island methylator phenotype (CIMP) status, microsatellite instability (MSI), and mutations in BRAF, KRAS, TP53, CHD7, and CHD8. Whole-exome capture sequencing data were also available in 11 cases. Fusobacterium was detectable in 111 of 149 (74%) colorectal cancer tissues and heavily enriched in 9% (14/149) of the cases. As expected, Fusobacterium was also detected in normal appearing mucosae from both cancer and cancer-free individuals, but the amount of bacteria was much lower compared with colorectal cancer tissues (a mean of 250-fold lower for Pan-fusobacterium). We found the Fusobacterium-high colorectal cancer group (FB-high) to be associated with CIMP positivity (P = 0.001), TP53 wild-type (P = 0.015), hMLH1 methylation positivity (P = 0.0028), MSI (P = 0.018), and CHD7/8 mutation positivity (P = 0.002). Among the 11 cases where whole-exome sequencing data were available, two that were FB-high cases also had the highest number of somatic mutations (a mean of 736 per case in FB-high vs. 225 per case in all others). Taken together, our findings show that Fusobacterium enrichment is associated with specific molecular subsets of colorectal cancers, offering support for a pathogenic role in colorectal cancer for this gut microbiome component. Cancer Res; 74(5); 1311–8. ©2014 AACR.
Introduction
The non–spore-forming, anaerobic Gram-negative bacterium Fusobacterium is part of the normal flora in the human mouth and gut mucosa. Fusobacterium species are highly heterogeneous and some species have been recognized as opportunistic pathogens implicated in inflammatory diseases of both the mouth, such as periodontitis, and the gut, such as appendicitis and inflammatory bowel diseases (IBD; refs. 1–5). Two recent studies have linked Fusobacterium species with colorectal cancer. These studies demonstrated that Fusobacterium nucleatum (F. nucleatum) and whole Fusobacterium species (Pan-fusobacterium) were abundant in colorectal cancer tissues compared with adjacent normal mucosa (6, 7). Several infectious bacteria and viruses were previously associated with neoplasia such as human papillomavirus in cervical cancer (8), Kaposi sarcoma-associated herpes virus in Kaposi sarcoma (9), and Epstein–Barr (EBV) virus in lymphomas and gastric cancer (10). Fusobacterium in colorectal cancer provided a novel concept, in that a part of the normal intestinal microflora may be relevant to tumorigenesis. However, the previous studies could not exclude the possibility that the presence of Fusobacterium in colorectal cancer is an epiphenomenon related to local changes triggered by the neoplastic process.
Colorectal cancers are characterized by specific genetic and epigenetic lesions. Besides common mutations in TP53, KRAS, and APC genes (11, 12), epigenetic alterations in colorectal cancers are frequent, particularly gene promoter DNA methylation. Classification of colorectal cancers according to mutation and DNA methylation status has identified distinct subtypes based on the CpG island methylator phenotype (CIMP; ref. 13). Typical high-level CIMP (CIMP-high, CIMP1) colorectal cancers are associated with microsatellite instability (MSI) through epigenetic silencing of a mismatch repair gene MLH1, as well as BRAF mutation. Frequent mutation in chromatin regulator genes, notably, CHD7 and CHD8, and members of the chromodomain helicase/ATP-dependent chromatin remodeling family were recently also discovered in CIMP1 colorectal cancers (14). Low-level CIMP (CIMP-low, CIMP2) is characterized by methylation of a limited group of genes and mutation in KRAS. CIMP-negative cases have less frequent methylation changes and very frequent TP53 mutation and chromosomal instability (15, 16).
Because colorectal cancers have heterogeneous molecular and clinical features (15–19), we investigated whether Fusobacterium status is associated with different subtypes of colorectal cancers. We found that Fusobacterium-high cases have a unique genetic and epigenetic profile, supporting potential links between the gut microbiome and molecular features of colorectal cancer.
Materials and Methods
Tissue samples
We used genomic DNA samples of 149 primary colorectal cancers and 89 normal-appearing adjacent tissues from patients undergoing surgery or colonoscopy at the Johns Hopkins Hospital, MD Anderson Cancer Center (Houston, TX), Sapporo medical University (Sapporo, Japan), Akita Red Cross Hospital (Akita, Japan), and Aichi Cancer Center Research Institute (Nagoya, Japan). All colorectal cancers used in this study were characterized previously for CIMP (all cases), MSI (n = 113), BRAF mutation (n = 144), KRAS mutation (n = 148), and TP53 mutation status (n = 143; refs. 15, 20–23). CHD7 and CHD8 mutation were also characterized in 100 out of 149 cases (14). Genomic DNA was also obtained from 72 colonic biopsies in 65 cancer-free subjects undergoing colonoscopy at the MD Anderson Cancer Center and Fujita Health University Hospital (Toyoake, Japan). Fifty out of 72 of these samples were from distal colon (descending and sigmoid colon and rectum) and the remaining 20 were from the proximal colon (cecum, ascending and transverse colon). Samples were collected in accordance with institutional policies and written informed consent for tissue collection was provided by all the participants.
Quantitative PCR analysis for Fusobacterium
Quantitative real-time PCR was performed using the Universal PCR Master Mix (Bio-Rad) and StepOnePlus Real-Time PCR System (Applied Biosystems). F. nucleatum and Pan-fusobacterium TaqMan primer/probe sets used in this study were described previously (6, 24). The cycle threshold (Ct) values for F. nucleatum and Pan-fusobacterium were normalized to the amount of human DNA in each reaction by using a primer/probe set for the reference gene, prostaglandin transporter, as described previously (25). All assays were done in duplicate and we averaged the results.
DNA methylation analysis for cancer-free subjects
Bisulfite-treated genomic DNA from cancer-free subjects was used to evaluate the methylation status of seven CpG islands (ER, SFRP1, MYOD1, MGMT, SLC16A2, SPOCK2, and N33) using the primers listed in supplementary Table S1. Bisulfite treatment of DNA was performed with an EpiTect Bisulfite Kit (Qiagen) according to the manufacturer's protocol. Pyrosequencing was carried out using a Pyro Mark Q96 MD system with a Pyro-Gold reagent kit (QIAGEN), and the results were analyzed using PyroMark Q96 ID software version 1.0 (QIAGEN).
Whole-exome capture sequencing and gene ontology analysis
Genomic DNA specimens from 11 colorectal tumors and their adjacent normal tissues were submitted to Otogenetics Corporation for exome capture and sequencing. Genomic DNAs were fragmented and then tested for size distribution and concentration. Illumina libraries were made using Next reagents (New England Biolabs), and the resulting libraries were subjected to exome enrichment using NimbleGen SeqCap EZ Human Exome Library v2.0 (Roche NimbleGen, Inc.). The samples were then sequenced on an Illumina HiSeq2000 (Illumina, Inc.), which generated paired-end reads of 90 or 100 nucleotides. All paired samples (tumor and normal) were sequenced on the same run, using same depth and coverage. Read results from both replicates were combined in the final analysis. Data were analyzed for quality, exome coverage, and exome-wide single-nucleotide polymorphism (SNP)/InDel using the platform provided by DNAnexus. We excluded all variants with a PHRED-encoded probability score less than 35, those that were present in the DNA of the corresponding normal samples (thus excluding germline events), and those that were not in coding regions, as well as silent changes and known SNPs (except for clinically associated SNPs). DNAnexus Genome Browser was used for visual validation of all potential somatic mutations to ensure that they were present in forward and reverse strands. The clinicopathological data for the studied cases, a detailed protocol of data analysis, summary of sequencing statistics, and somatic mutations list for all samples can be found in this article (14). Functional enrichment of mutated genes was determined by the gene ontology analysis using DAVID Bioinformatics Resources 6.7 (http://david.abcc.ncifcrf.gov/). P values were corrected for multiple hypothesis testing using the Benjamini method.
Statistical analysis
Continuous variables among matched samples (cancer and normal tissues) were examined using the Wilcoxon signed rank test. Continuous variables among two and three different groups were examined using the Student t test and one-way ANOVA, respectively. Categorical variables among two or three different groups were examined using the two-sided Fisher exact test. Two-sided P value of <0.05 was considered statistically significant.
Results
Clinicopathologic characteristics of colorectal cancers
We studied 104 colorectal cancers selected on the basis of sample availability and subsequently added 26 CIMP1, 18 CIMP2, and one CIMP-negative cases to expand this cohort. In total, these cases consisted of 60 CIMP-negative, 42 CIMP1, and 47 CIMP2 tumors. Clinicopathologic characteristics are shown in Table 1. As expected, CIMP1 cases presented at a higher age and were principally located in the proximal colon. CIMP1 cases were characterized by a higher incidence of mutations in BRAF and MSI and rare mutations in KRAS and TP53. The CIMP2 cases were characterized by a higher incidence of mutations in KRAS and rare MSI. The CIMP-negative cases were characterized by a higher incidence of mutations in TP53 and rare MSI.
Clinicopathological characteristics of 149 colorectal cancers studied
. | CIMP negative . | CIMP1 . | CIMP2 . |
---|---|---|---|
Total number | 60 | 42 | 47 |
Age: mean ± SEMa | 64.0 ± 1.9 | 71.8 ± 1.3 | 66.7 ± 1.6 |
Female | 21 (35.0%) | 21 (50.0%) | 18 (38.3%) |
Proximal locationb | 26 (52.0%) | 26 (86.7%) | 22 (75.9%) |
BRAF mutantc | 2 (3.6%) | 31 (73.8%) | 0 (0%) |
KRAS mutantd | 23 (40.0%) | 0 (0%) | 38 (80.9%) |
TP53 mutante | 37 (66.1%) | 3 (7.1%) | 18 (40.0%) |
MSIf | 6 (13.0%) | 36 (97.3%) | 0 (0%) |
. | CIMP negative . | CIMP1 . | CIMP2 . |
---|---|---|---|
Total number | 60 | 42 | 47 |
Age: mean ± SEMa | 64.0 ± 1.9 | 71.8 ± 1.3 | 66.7 ± 1.6 |
Female | 21 (35.0%) | 21 (50.0%) | 18 (38.3%) |
Proximal locationb | 26 (52.0%) | 26 (86.7%) | 22 (75.9%) |
BRAF mutantc | 2 (3.6%) | 31 (73.8%) | 0 (0%) |
KRAS mutantd | 23 (40.0%) | 0 (0%) | 38 (80.9%) |
TP53 mutante | 37 (66.1%) | 3 (7.1%) | 18 (40.0%) |
MSIf | 6 (13.0%) | 36 (97.3%) | 0 (0%) |
NOTE: Proximal, cecum, and ascending and transverse colon; distal, descending, and sigmoid colon, and rectum.
aCIMP1 versus CIMP negative, P = 0.002; CIMP1 versus CIMP2, P = 0.01.
bCIMP1 versus CIMP negative, P = 0.002. Data were missing in 28 cases.
cCIMP1 versus CIMP negative, P < 0.0001; CIMP1 versus CIMP2, P < 0.0001. Data were missing in five cases.
dCIMP2 versus CIMP negative, P = 0.0001; CIMP2 versus CIMP1, P < 0.0001; CIMP negative versus CIMP2, P < 0.0001. Data were missing in one case.
eCIMP negative versus CIMP1, P < 0.0001; CIMP negative versus CIMP2, P = 0.02; CIMP2 versus CIMP1, P = 0.0004. Data were missing in six cases.
fCIMP1 versus CIMP negative, P < 0.0001; CIMP1 versus CIMP2, P < 0.000. Data were missing in 36 cases.
Detection of Fusobacterium in colorectal cancer tissues and their adjacent mucosa
Among 149 colorectal cancer tumor tissues, F. nucleatum and Pan-fusobacterium were detectable in 78 (52.3%) and 110 (73.8%) cases, respectively, and 111 patients (74.4%) had either F. nucleatum or Pan-fusobacterium detectable. Among 89 adjacent normal colonic mucosae, F. nucleatum and Pan-fusobacterium were detectable in 27 (30.3%) and 47 (52.8%) cases, respectively (Supplementary Fig. S1). To determine the abundance of Fusobacterium in colorectal cancer tissues, we initially compared the amount of bacteria in 89 matched tumor tissues and normal mucosae. In agreement with previous studies (6, 7), we found significant enrichment of both F. nucleatum and Pan-fusobacterium in colorectal cancer tissues compared with adjacent normal mucosae (approximate enrichment of F. nucleatum, 3,600-fold and Pan-fusobacterium, 250-fold; both P < 0.0001 by the Wilcoxon signed rank test; Fig. 1). Overrepresentation of both F. nucleatum and Pan-fusobacterium in tumor versus matched normal specimens was found in more than half of the cases (51%, 45/89 for F. nucleatum and 62%, 55/89 for Pan-fusobacterium).
Overrepresentation of F. nucleatum (left) and Pan-fusobacterium (right) in colorectal cancer tissues relative to adjacent normal colonic mucosa in 89 paired cases. Statistical analysis was performed using the Wilcoxon signed rank test.
Overrepresentation of F. nucleatum (left) and Pan-fusobacterium (right) in colorectal cancer tissues relative to adjacent normal colonic mucosa in 89 paired cases. Statistical analysis was performed using the Wilcoxon signed rank test.
Association between Fusobacterium high and clinical and molecular characteristics of colorectal cancer
The amount of F. nucleatum and Pan-fusobacterium in detectable cases varied considerably among the samples. Pan-fusobacterium was more commonly detected, being measurable in 74%. For both F. nucleatum and Pan-fusobacterium, the amount of bacteria in measurable cases had an approximately Gaussian distribution, with overrepresentation of bacteria-high cases. On the basis of this, we set cutoff values of 0.01 and 1 (2-ΔCt) for F. nucleatum and Pan-fusobacterium and identified eight (5.4%) and 14 (9.4%) cases as having a high amount of F. nucleatum and Pan-fusobacterium, respectively (Supplementary Fig. S2). Because F. nucleatum and Pan-fusobacterium status was highly correlated in both cancer and normal tissues (P < 0.0001, Supplementary Table S2), we defined a high amount of Fusobacterium (FB-high) as those cases with either high F. nucleatum or Pan-fusobacterium or both. In cancer tissues, all eight cases with high F. nucleatum were included in high Pan-fusobacterium cases. Therefore, all FB-high cases (n = 14) corresponded to high Pan-fusobacterium cases (Supplementary Table S2; Fig. 2). On average, these cases had 250-fold enrichment of Pan-fusobacterium when compared with the overall average of the other cancer cases. We next analyzed clinicopathologic correlations of FB-high status.
Distribution of Fusobacterium in patients with colorectal cancer (n = 149). The cases were ranked according to the amount of Pan-fusobacterium (right, high amount; left, low amount). Note that all F. nucleatum high cases (n = 8) were included in Pan-fusobacterium high cases (n = 14) and there is a clear separation of the FB-high group (n = 14, 9.4%) and the FB-low/negative group (n = 135, 90.6%). Red, CIMP1, MLH1 methylated, BRAF, KRAS, and TP53 mutated; blue, CIMP2; gray, CIMP negative, MLH1 unmethylated, BRAF, KRAS, and TP53 wild-type; white, not determined;
Distribution of Fusobacterium in patients with colorectal cancer (n = 149). The cases were ranked according to the amount of Pan-fusobacterium (right, high amount; left, low amount). Note that all F. nucleatum high cases (n = 8) were included in Pan-fusobacterium high cases (n = 14) and there is a clear separation of the FB-high group (n = 14, 9.4%) and the FB-low/negative group (n = 135, 90.6%). Red, CIMP1, MLH1 methylated, BRAF, KRAS, and TP53 mutated; blue, CIMP2; gray, CIMP negative, MLH1 unmethylated, BRAF, KRAS, and TP53 wild-type; white, not determined;
The prevalence of FB-high was significantly elevated in CIMP-positive colorectal cancers including CIMP1 (9/42, 21.4%) and CIMP2 colorectal cancers (5/47, 10.6%) compared with CIMP-negative cases (0/64, 0%, P = 0.001). Consistent with this, FB-high was significantly associated with molecular features that are common in CIMP colorectal cancers, such as TP53 wild-type (P = 0.015), hMLH1 methylation positivity (P = 0.0028), and MSI (P = 0.018; Table 2). On the other hand, the prevalence of fusobacterium measurable cases was similar among CIMP1, CIMP2, and CIMP-negative cases for both F. nucleatum and Pan-fusobacterium (all P > 0.05, data not shown). We also found a significant association between FB-high and CHD7/8 mutation positivity (CHD7, P = 0.025; CHD8, P = 0.035; and CHD7/8 mutation, P = 0.002). CHD7 and CDH8 are members of the chromodomain helicase/ATP-dependent chromatin remodeling family and both are commonly mutated in CIMP-positive colorectal cancers in our recent study (14). Because CIMP-positive colorectal cancers are more common in proximal colon and it is conceivable that the gut microbiome differs by site, we next assessed whether FB-high is associated with CIMP-positive colorectal cancers in the proximal colon. Among 72 proximal colorectal cancers, FB-high was significantly associated with CIMP (P = 0.047). FB-high was also associated with CHD7/8 mutation (P = 0.046) and older age (P = 0.01), whereas weak associations were also found between FB-high and TP53 wild-type status (P = 0.05), hMLH1 methylation positivity (P = 0.05), and CHD7 mutation (P = 0.06; Supplementary Table S4). We also investigated whether FB-high is associated with any clinical or molecular features within CIMP1 colorectal cancers but found no significant correlations (Supplementary Table S5).
Association between FB-high and clinical and molecular
Subtypes of colorectal cancers . | |||||
---|---|---|---|---|---|
Variables: n (%) . | FB-high . | (%) . | FB-low/negative . | (%) . | P . |
CIMP status | |||||
CIMP negative | 0 | 0.0 | 60 | 100.0 | — |
CIMP-1 | 9 | 21.4 | 33 | 78.6 | — |
CIMP-2 | 5 | 10.6 | 42 | 89.4 | 0.001 |
BRAF | |||||
Wild-type | 8 | 7.2 | 103 | 92.8 | — |
Mutated | 6 | 18.2 | 27 | 81.8 | 0.09 |
KRAS | |||||
Wild-type | 10 | 11.5 | 77 | 88.5 | — |
Mutated | 4 | 6.6 | 57 | 93.4 | 0.4 |
P53 | |||||
Wild-type | 12 | 14.1 | 73 | 85.9 | — |
Mutated | 1 | 1.7 | 57 | 98.3 | 0.015 |
hMLH1 | |||||
Unmethylated | 5 | 4.6 | 103 | 95.4 | — |
Methylated | 9 | 22.0 | 32 | 78.0 | 0.0028 |
MSI | |||||
MSS | 3 | 4.2 | 68 | 95.8 | — |
MSI | 8 | 19.0 | 34 | 81.0 | 0.018 |
CHD7 | |||||
Wild-type | 7 | 8.0 | 81 | 92.0 | — |
Mutated | 4 | 33.3 | 8 | 66.7 | 0.025 |
CHD8 | |||||
Wild-type | 7 | 8.0 | 80 | 92.0 | — |
Mutated | 4 | 30.8 | 9 | 69.2 | 0.035 |
CHD7 or 8 | |||||
Wild-type | 4 | 5.1 | 74 | 94.9 | — |
Mutated | 7 | 31.8 | 15 | 68.2 | 0.002 |
Location | |||||
Distal colon | 2 | 4.1 | 47 | 95.9 | — |
Proximal colon | 9 | 12.5 | 63 | 87.5 | 0.2 |
Gender | |||||
Male | 7 | 7.9 | 82 | 92.1 | — |
Female | 7 | 11.7 | 53 | 88.3 | 0.57 |
Age | |||||
∼70 y | 5 | 5.8 | 81 | 94.2 | — |
>70 y | 9 | 14.5 | 53 | 85.5 | 0.09 |
Subtypes of colorectal cancers . | |||||
---|---|---|---|---|---|
Variables: n (%) . | FB-high . | (%) . | FB-low/negative . | (%) . | P . |
CIMP status | |||||
CIMP negative | 0 | 0.0 | 60 | 100.0 | — |
CIMP-1 | 9 | 21.4 | 33 | 78.6 | — |
CIMP-2 | 5 | 10.6 | 42 | 89.4 | 0.001 |
BRAF | |||||
Wild-type | 8 | 7.2 | 103 | 92.8 | — |
Mutated | 6 | 18.2 | 27 | 81.8 | 0.09 |
KRAS | |||||
Wild-type | 10 | 11.5 | 77 | 88.5 | — |
Mutated | 4 | 6.6 | 57 | 93.4 | 0.4 |
P53 | |||||
Wild-type | 12 | 14.1 | 73 | 85.9 | — |
Mutated | 1 | 1.7 | 57 | 98.3 | 0.015 |
hMLH1 | |||||
Unmethylated | 5 | 4.6 | 103 | 95.4 | — |
Methylated | 9 | 22.0 | 32 | 78.0 | 0.0028 |
MSI | |||||
MSS | 3 | 4.2 | 68 | 95.8 | — |
MSI | 8 | 19.0 | 34 | 81.0 | 0.018 |
CHD7 | |||||
Wild-type | 7 | 8.0 | 81 | 92.0 | — |
Mutated | 4 | 33.3 | 8 | 66.7 | 0.025 |
CHD8 | |||||
Wild-type | 7 | 8.0 | 80 | 92.0 | — |
Mutated | 4 | 30.8 | 9 | 69.2 | 0.035 |
CHD7 or 8 | |||||
Wild-type | 4 | 5.1 | 74 | 94.9 | — |
Mutated | 7 | 31.8 | 15 | 68.2 | 0.002 |
Location | |||||
Distal colon | 2 | 4.1 | 47 | 95.9 | — |
Proximal colon | 9 | 12.5 | 63 | 87.5 | 0.2 |
Gender | |||||
Male | 7 | 7.9 | 82 | 92.1 | — |
Female | 7 | 11.7 | 53 | 88.3 | 0.57 |
Age | |||||
∼70 y | 5 | 5.8 | 81 | 94.2 | — |
>70 y | 9 | 14.5 | 53 | 85.5 | 0.09 |
Whole-exome capture and sequencing data were available for 11 colorectal cancers and their matched normal colonic tissues (14). The 11 colorectal cancers consisted of eight CIMP1, one CIMP2, and two CIMP negatives, and two of CIMP1 colorectal cancers were classified as FB-high. This technology determines the sequence of approximately 30,000 coding genes, based on RefSeq, CCDS, and miR base. There were 3,495 nonsilent somatic mutations in 2,913 genes. The somatic mutations in the two FB-high (mean 736) was higher than that seen in CIMP1 with low/undetectable FB (mean 302, range 94–436) and CIMP2/CIMP negative with low/undetectable FB presented the lowest somatic mutation rate (mean 71, range 24–122). These differences were statistically significant (P = 0.003; Fig. 3). We also compared the distribution of different types of mutations (nonsynonymous, stop codon, and frame shift) and the context of the single base substitution mutations. Although CIMP-1 colorectal cancers had increased mutations in polynucleotide tracts, there was no difference in the types of mutations or the context of the single base substitution mutations across the different CIMP and Fusobacterium status. Nonsynonymous, C to T and G to A transitions within the CpG sites were the most frequent in all the samples (14).
Number of mutated genes determined by whole-exome sequencing analysis in 11 colorectal cancers. (2 FB-high, 6 FB-low/negative CIMP1, and 3 FB-low/negative CIMP2/CIMP negative). Statistical analysis was performed using one-way ANOVA.
Number of mutated genes determined by whole-exome sequencing analysis in 11 colorectal cancers. (2 FB-high, 6 FB-low/negative CIMP1, and 3 FB-low/negative CIMP2/CIMP negative). Statistical analysis was performed using one-way ANOVA.
To further evaluate functional differences of gene mutations among FB-high cases, we next performed Gene Ontology analysis to determine whether there was an enrichment for specific functional categories among the mutated genes in FB-high cases. This analysis showed that mutated genes in FB-high cases frequently encoded genes related to nervous system development. Interestingly, this functional category is neither represented among the genes exclusively mutated in CIMP1 with low/undetectable FB and CIMP2/CIMP negative with low/undetectable FB nor among the genes mutated in both tumor categories (Supplementary Tables S6 and S7). However, the number of cases available for analysis is small and these conclusions need confirmation in other datasets.
Detection of Fusobacterium in non-neoplastic colonic mucosa
Although the amount was much lower than that of cancer tissues (Fig. 1), the amount of F. nucleatum and Pan-fusobacterium in adjacent normal mucosae also showed a Gaussian distribution with an excess of bacteria-high cases. On the basis of this, we set a cutoff value of 3 × 10−6 and 0.1 (2ΔCt) for F. nucleatum and Pan-fusobacterium, respectively. Among the 89 samples analyzed, nine (10.1%) and eight (9.9%) were classified as having a high amount of F. nucleatum and Pan-fusobacterium, respectively (Supplementary Fig. S3). F. nucleatum and Pan-fusobacterium status was highly correlated in normal tissues (P < 0.0001; Supplementary Table S3). We then classified 13 out of 89 cases (14.6%) as FB-high, having either a high amount of F. nucleatum or Pan-fusobacterium in the normal adjacent mucosa. FB-high status in normal appearing mucosae was associated with a 15-fold increased likelihood of FB-high status in cancer tissues (P = 0.0005; Table 3).
Association between Fusobacterium status in adjacent tissues and cancer tissues
. | FB-high . | FB-low/negative . |
---|---|---|
Adjacent tissues | ||
FB-low/negative (n = 76) | 4 (5.3%) | 72 (94.7%) |
FB-high (n = 13) | 6 (46.2%) | 7 (53.8%) |
. | FB-high . | FB-low/negative . |
---|---|---|
Adjacent tissues | ||
FB-low/negative (n = 76) | 4 (5.3%) | 72 (94.7%) |
FB-high (n = 13) | 6 (46.2%) | 7 (53.8%) |
NOTE: OR = 15.4; 95% confidence intervals, 3.5–68.1; P = 0.0005.
We next examined 72 non-neoplastic colonic biopsies from 65 cancer-free subjects. Fourteen biopsies from 12 subjects (18.4%) were classified as FB-high using the same cutoff value used in cancer cases. The prevalence of FB-high was not significantly different between patients with colorectal cancers and cancer-free subjects (14.6% vs. 18.4%; P = 0.66; Table 4). Patients with CIMP1 colorectal cancer were more likely to be FB-high in their adjacent tissues than patients with CIMP-negative colorectal cancer (29.2% vs. 6.8%; P = 0.03; Table 4). FB-high state in the cancer-free subjects was not associated with any clinical characteristics including gender, location, and age (Supplementary Table S8). We also found no significant difference of FB-high state among samples from the United States (7/37, 18.9%) or from Japan (7/35, 20%; P = 0.92). Finally, we investigated the association between FB-high and DNA methylation status in non-neoplastic colonic mucosa using seven different markers (ER, SFRP1, MYOD1, MGMT, SLC16A2, SPOCK2, and N33). No significant association was found between FB-high and methylation status of any marker (Supplementary Fig. S4).
Fusobacterium status in non-neoplastic colonic mucosa in cancer-free and colorectal cancer patients
. | FB-high . | FB-low/negative . |
---|---|---|
Cancer free (n = 65) | 12 (18.4%) | 53 (80.6%) |
Colorectal cancer cases (n = 89) | 13 (14.6%) | 76 (85.4%) |
CIMP negative (n = 44) | 3 (6.8%) | 41 (93.2%) |
CIMP1a (n = 24) | 7 (29.2%) | 17 (70.8%) |
CIMP2 (n = 21) | 3 (14.3%) | 18 (85.7%) |
All CIMP (n = 45) | 10 (22.2%) | 35 (77.8%) |
. | FB-high . | FB-low/negative . |
---|---|---|
Cancer free (n = 65) | 12 (18.4%) | 53 (80.6%) |
Colorectal cancer cases (n = 89) | 13 (14.6%) | 76 (85.4%) |
CIMP negative (n = 44) | 3 (6.8%) | 41 (93.2%) |
CIMP1a (n = 24) | 7 (29.2%) | 17 (70.8%) |
CIMP2 (n = 21) | 3 (14.3%) | 18 (85.7%) |
All CIMP (n = 45) | 10 (22.2%) | 35 (77.8%) |
aCIMP1 versus CIMP negative, P = 0.03.
Discussion
Our data show that patients with colorectal cancer with a high level of Fusobacterium in their cancer tissues have a molecularly distinct type of cancer, with a high degree of CpG island methylation and a high rate of mutations overall (though not of the TP53 gene). These data provide evidence for a pathogenic rather than passenger role for these bacteria. In favor of this argument are the facts that (i) a high level of bacteria can be detected in both cancer, uninvolved adjacent mucosa and unaffected controls, (ii) the FB-high state in normal mucosa is strongly predictive of the specific molecular subtype of patients with colorectal cancer, and (iii) FB-high colorectal cancer have a distinct molecular profile; all these points suggest that bacteria were not simply an epiphenomenon of the cancer state. Although the data imply a contributory role of Fusobacterium, they fall short of proving causation. Clearly, not all people with high levels of Fusobacterium have colon cancer. Thus, the interaction of this normal flora bacterium with cancer is best viewed in the light of emerging data on a pathogenic link between neoplastic cells and a permissive microenvironment. Our data are consistent with previous studies linking high relative abundance of Fusobacterium in tumor with regional lymph node metastases (6), which are also more likely to be CIMP-positive cancers (26). Fusobacterium was also detected in a subset of resected colorectal cancer metastases (7), suggesting that Fusobacterium may be also required for the survival or maintenance of colorectal cancer cells. In fact, all FB-high colorectal cancers were CIMP-1 or CIMP2 and none were CIMP negative; however, only a small fraction of the total CIMP tumors are in this high FB group.
Prevalence of Fusobacterium measurable cases did not significantly differ across the different molecular subtypes of colorectal cancers (data not shown). This suggests that bacteria-high cases rather than simply detectable cases are important for the development of CIMP-positive colorectal cancers. FB-high status may contribute to the development of a subset of CIMP-positive colorectal cancers, affecting different molecular pathways. For example, we found that somatic mutations in the FB-high cases were significantly more frequent compared with CIMP1 and CIMP2/CIMP negative with low/undetectable FB, and affected pathways seemed to be different though the small number of cases analyzed make this conclusion tentative. Whether the different molecular pathways targeted affect patient prognosis should also be evaluated.
Although F. nucleatum and other Fusobacterium species are part of the gut microbiome in human, their invasive (3, 27), adherent (28, 29), and proinflammatory (30–32) features have been noted. Fusobacterium have been associated with inflammatory disorders such as periodontitis (1), cerebral abscesses (33), acute appendicitis (2), and IBDs (3–5). It is interesting to note that the tumor subtypes, most associated with Fusobacterium (CIMP1 cases), have a distinct immune response with abundant tumor-infiltrating lymphocytes (26, 34). This inflammatory reaction has been thought to be a host immune response to the tumor cells and is associated with a better prognosis and longer survival (26, 34). Our data suggest that it could also be linked to an immune response to the high levels of bacteria in the peritumoral tissues. More broadly, inflammation may provide the pathogenic link between infections and cancer. Increased CpG island methylation is a noted feature of chronic inflammation, whether in the context of normal tissues (e.g., ulcerative colitis; refs. 35, 36) or cancer (e.g., EBV-positive gastric cancer; ref. 37). Fusobacterium has a reported association with IBDs, including both ulcerative colitis and Crohn diseases (4, 5), and IBD is one of the highest risk factors for colorectal cancer. Thus, the high rate of aberrant DNA methylation and somatic mutations in FB-high colorectal cancers may reflect the fact that these cancers arise on a background of immune response triggered (or contributed to) by high levels of Fusobacterium.
One of the interesting implications of this work is the potential of Fusobacterium as a biomarker of cancer risk. In our studies, Fusobacterium levels in normal colonic mucosa were higher in CIMP1 compared with CIMP-negative cases, but were also prevalent in cancer-free subjects (and not associated with DNA methylation there). Thus, Fusobacterium levels alone would not be useful as a biomarker of risk. Still, the hypothesis that Fusobacterium contributes to neoplasia as a cofactor through tumor–microenvironment interactions suggests that it should be tested as a risk modifier, for example, in patients with genetic and/or environmental predisposition to cancer. Also, the mean age of cancer-free subjects analyzed in this study was younger than that in colorectal cancer cases, and we could not exclude the possibility that a considerable percentage of the FB-high cancer-free subjects may be at increased risk of developing colorectal cancer in the future. Whether the Fusobacterium levels in normal colonic mucosa would increase the risk of specific subtypes of colorectal cancer needs to be confirmed by prospective clinical studies. The hypothesis also deserves to be tested in animal models, where one could specifically explore the possibility of therapeutic intervention targeting Fusobacterium in the prevention or treatment of colorectal cancer.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Authors' Contributions
Conception and design: T. Tahara, T. Sugai, M. Toyota, M.R.H. Estecio, J.-P.J. Issa
Development of methodology: W. Chung, J. Jelinek
Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): T. Tahara, H. Suzuki, R. Maruyama, H. Yamano, B. An, I. Shureiqi
Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): T. Tahara, J. Jelinek, B. An, M.R.H. Estecio, J.-P.J. Issa
Writing, review, and/or revision of the manuscript: T. Tahara, W. Chung, M.R.H. Estecio, J.-P.J. Issa
Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): E. Yamamoto, J. Garriga, J. Jelinek, H. Yamano, Y. Kondo
Study supervision: M. Toyota, M.R.H. Estecio, J.-P.J. Issa
Grant Support
This work was supported by NIH grants CA098006 and CA158112 (J.-P.J. Issa) and the G.S. Hogan Gastrointestinal Research Fund at MD Anderson Cancer Center (M.R.H. Estecio). J.-P.J. Issa is an American Cancer Society Clinical Research professor supported by a generous gift from the F. M. Kirby Foundation.
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